Core Viewpoint - The report from CITIC Securities indicates that computing power chain companies have released performance forecasts showing rapid growth, confirming that the AI-driven computing power industry remains highly prosperous [1] Group 1: Industry Insights - The competition and iteration of AI large models are ongoing, suggesting that investments in computing power are likely to maintain a high intensity [1] - The computing power sector is recommended due to continuous high growth in performance and relatively low historical valuation of core North American computing power chain targets [1] Group 2: Investment Opportunities - Companies that are expected to benefit from spillover demand and achieve breakthroughs in customer acquisition or market share are highlighted as potential investment opportunities [1] - Attention is drawn to upstream segments that are currently in short supply [1] - With the mass shipment of GB300, there is a recommendation to focus on the 1.6T optical module and CPO industry chain [1] - As H20 supply recovers, NV is set to launch a new GPU in China, making domestic computing power chains worthy of attention [1]

Group 1 - The core point of the article is that Dongfang Materials (SH 603110) held its 11th meeting of the 6th board of directors on August 4, 2025, to discuss the election of the chairman and other documents [1] - For the fiscal year 2024, Dongfang Materials reported that its revenue composition is as follows: 93.49% from the chemical industry, 6.26% from the computing industry, and 0.25% from other businesses [1] - As of the report date, Dongfang Materials has a market capitalization of 3.2 billion yuan [1]

Group 1 - The emergence of generative AI has significantly increased the demand for computing power, transitioning from large models to intelligent agents and embodied intelligence [2] - The global AI server market is projected to grow from $125.1 billion in 2024 to $158.7 billion in 2025, reaching $222.7 billion by 2028, with generative AI servers' market share increasing from 29.6% in 2025 to 37.7% in 2028 [3] - In China, the intelligent computing power is expected to reach 1,037.3 EFLOPS by 2025 and 2,781.9 EFLOPS by 2028, with a compound annual growth rate (CAGR) of 46.2% from 2023 to 2028 [3] Group 2 - The trend of cross-domain and cross-cluster mixed training of large models is emerging, supported by advancements in computing network infrastructure [4] - The "East Data West Computing" initiative has seen over 43.5 billion yuan invested, with a total investment exceeding 200 billion yuan, improving network latency and energy efficiency [4] - The construction of computing networks is evolving towards AI-driven and distributed models, with a focus on multi-node and multi-mode collaboration [10] Group 3 - Companies face challenges in cross-cluster mixed training, particularly in integrating different computing service providers and ensuring effective communication protocols [5] - The shift in user demand from training to inference computing power is evident, indicating a transition from a scale-driven to an efficiency-driven industry [6][8] - The service model is evolving from traditional Infrastructure as a Service (IaaS) to Model as a Service (MaaS), focusing on industry-specific solutions [7] Group 4 - The increasing demand for computing power necessitates a reevaluation of self-built computing infrastructure, which may not be cost-effective for many companies [8] - Companies are increasingly opting for computing platforms to manage workloads, raising the bar for service providers to develop efficient scheduling platforms [9] - The construction of computing networks is crucial for driving innovation across various industries, with a focus on AI and distributed computing [9] Group 5 - The rise in computing demand also raises concerns about energy consumption in data centers, with AI data center capacity expected to grow at a CAGR of 40.5% by 2027 [12] - Innovative cooling technologies and strategic data center locations are being explored to reduce energy consumption [12][13] - The integration of AI technologies is enhancing the operational efficiency of data centers, leading to a shift towards fully automated "dark" data centers [15]

Group 1 - The core point of the article is that Hongxin Electronics (SZ 300657) held its 43rd meeting of the fourth board of directors on July 29, 2025, via telecommunication voting, where it reviewed the proposal for establishing a management system for the disclosure of credit bond information [1] - For the year 2024, the revenue composition of Hongxin Electronics is as follows: 64.68% from the electronic manufacturing industry, 33.84% from computing and related industries, and 1.48% from other businesses [1] - As of the time of reporting, the market capitalization of Hongxin Electronics is 14.2 billion yuan [1]

Group 1: Stock Performance and Trends - Six stocks have sealed orders exceeding 100 million yuan, with Huayin Electric leading at 498 million yuan, followed by Dongbei Group at 363 million yuan, and Hongbo Co. at 233 million yuan [3] - Huayin Electric achieved a revenue of 2.307 billion yuan in Q1, a year-on-year increase of 5.06%, and a net profit of 75.6749 million yuan, up 894.61% [3] - Dongbei Group has recorded four consecutive daily limit-ups, while Huayin Electric and Maoye Commercial have achieved three consecutive limit-ups [2] Group 2: Industry Insights - The power sector is experiencing significant growth due to falling coal prices, which have reduced cost pressures for thermal power companies, and an expected seasonal increase in electricity demand as summer approaches [4] - Huayin Electric is a leading thermal power company in Hunan Province, with a total installed capacity of 5.24 million kilowatts, accounting for 23.91% of the province's regulated public thermal power capacity [4] - The company is also involved in hydropower, wind power, and solar energy businesses, indicating a diversified energy portfolio [4] Group 3: Computing Power Sector - Google reported a capital expenditure of $17.23 billion for Q1 of FY2025, a year-on-year increase of 43.4%, primarily for servers and data centers, indicating sustained demand for computing power [5] - Desheng Technology is combining self-owned computing power with cloud computing rentals, focusing on AI services and meeting the growing demand for AI digital human and interactive large models [5] - Hengrun Co. has signed deep cooperation agreements with multiple operators to secure all on-site production capacity, completing the first phase of 3000P computing power deployment [5]